Learn the basics of the NumPy library in this tutorial for beginners. It provides background information on how NumPy works and how it compares to Python’s Built-in lists. This video goes through how to write code with NumPy. It starts with the basics of creating arrays and then gets into more advanced stuff. The video covers creating arrays, indexing, math, statistics, reshaping, and more.

⭐️ Course Contents ⭐️
⌨️ (01:15) What is NumPy
⌨️ (01:35) NumPy vs Lists (speed, functionality)
⌨️ (09:17) Applications of NumPy
⌨️ (11:08) The Basics (creating arrays, shape, size, data type)
⌨️ (16:08) Accessing/Changing Specific Elements, Rows, Columns, etc (slicing)
⌨️ (23:14) Initializing Different Arrays (1s, 0s, full, random, etc…)
⌨️ (31:34) Problem #1 (How do you initialize this array?)
⌨️ (33:42) Be careful when copying variables!
⌨️ (35:45) Basic Mathematics (arithmetic, trigonometry, etc.)
⌨️ (38:20) Linear Algebra
⌨️ (42:19) Statistics
⌨️ (43:57) Reorganizing Arrays (reshape, vstack, hstack)
⌨️ (47:29) Load data in from a file
⌨️ (50:20) Advanced Indexing and Boolean Masking
⌨️ (55:59) Problem #2 (How do you index these values?)

💻 Code: https://github.com/KeithGalli/NumPy

#python #numpy #machine-learning #data-science